Department of Civil and Environmental Engineering, University of Connecticut , Storrs, Connecticut 06269, United States.
Department of Chemistry, Bowdoin College , Brunswick, Maine 04011, United States.
Environ Sci Technol. 2017 Jun 6;51(11):6193-6201. doi: 10.1021/acs.est.7b01277. Epub 2017 May 10.
With the increasing number of emerging contaminants that are cationic at environmentally relevant pH values, there is a need for robust predictive models of organic cation sorption coefficients (K). Current predictive models fail to account for the differences in the identity, abundance, and affinity of surface-associated inorganic exchange ions naturally present at negatively charged receptor sites on environmental solids. To better understand how organic cation sorption is influenced by surface-associated inorganic exchange ions, sorption coefficients of 10 organic cations (including eight pharmaceuticals and two simple probe organic amines) were determined for six homoionic forms of the aluminosilicate mineral, montmorillonite. Organic cation sorption coefficients exhibited consistent trends for all compounds across the various homoionic clays with sorption coefficients (K) decreasing as follows: K > K ≥ K > K ≥ K > K. This trend for competition between organic cations and exchangeable inorganic cations is consistent with the inorganic cation selectivity sequence, determined for exchange between inorganic ions. Such consistent trends in competition between organic and inorganic cations suggested that a simple probe cation, such as phenyltrimethylammonium or benzylamine, could capture soil-to-soil variations in native inorganic cation identity and abundance for the prediction of organic cation sorption to soils and soil minerals. Indeed, sorption of two pharmaceutical compounds to 30 soils was better described by phenyltrimethylammonium sorption than by measures of benzylamine sorption, effective cation exchange capacity alone, or a model from the literature (Droge, S., and Goss, K. Environ. Sci. Technol. 2013, 47, 14224). A hybrid approach integrating structural scaling factors derived from this literature model of organic cation sorption, along with phenyltrimethylammonium K values, allowed for estimation of K values for more structurally complex organic cations to homoionic montmorillonites and to heteroionic soils (mean absolute error of 0.27 log unit). Accordingly, we concluded that the use of phenyltrimethylammonium as a probe compound was a promising means to account for the identity, affinity, and abundance of natural exchange ions in the prediction of organic cation sorption coefficients for environmental solids.
随着越来越多的在环境相关 pH 值下呈阳离子的新兴污染物出现,因此需要建立稳健的有机阳离子吸附系数(K)预测模型。目前的预测模型未能考虑到天然存在于带负电荷的环境固体受体位点上的表面结合无机交换离子的特性、丰度和亲和力的差异。为了更好地理解有机阳离子吸附如何受到表面结合无机交换离子的影响,我们测定了 10 种有机阳离子(包括 8 种药物和 2 种简单的探针有机胺)在 6 种同晶型铝硅酸盐矿物蒙脱石中的吸附系数。对于各种同晶型黏土,所有化合物的有机阳离子吸附系数均表现出一致的趋势,随着吸附系数(K)的降低而降低:K > K ≥ K > K ≥ K > K。这种有机阳离子与可交换无机阳离子之间的竞争趋势与无机离子交换确定的无机阳离子选择性顺序一致。有机和无机阳离子之间竞争的这种一致趋势表明,简单的探针阳离子,如苯三甲铵或苄胺,可捕获土壤中天然无机阳离子特性和丰度的变化,从而预测有机阳离子对土壤和土壤矿物质的吸附。事实上,两种药物化合物对 30 种土壤的吸附,通过苯三甲铵的吸附比苄胺的吸附、有效阳离子交换容量或文献中的模型(Droge,S. 和 Goss,K. Environ. Sci. Technol. 2013,47,14224)的描述更好。一种整合了从文献中有机阳离子吸附模型得出的结构缩放因子的混合方法,以及苯三甲铵的 K 值,可用于估计同晶型蒙脱石和异质土壤中更复杂结构的有机阳离子的 K 值(平均绝对误差为 0.27 对数单位)。因此,我们得出的结论是,使用苯三甲铵作为探针化合物是一种很有前途的方法,可以在预测环境固体中有机阳离子吸附系数时,考虑到天然交换离子的特性、亲和力和丰度。